| Title |
Project-oriented Internship in Computer Science
|
| Semester |
E2025
|
| Master programme in |
Computer Science
|
| Type of activity |
Project |
| Mandatory or elective |
Elective It is mandatory to sign up for either the Advanced Project in Computer Science or Project-oriented Internship in Computer Science. |
| Teaching language |
English
|
| Study regulation |
Read about the Master Programme and find the Study Regulations at ruc.dk |
| REGISTRATION AND STUDY ADMINISTRATIVE | |
| Registration |
Please be aware of the approval requirements for a project-oriented internship. You can read more about the approval process here |
| Number of participants |
|
| ECTS |
15
|
| Responsible for the activity |
Henrik Bulskov (bulskov@ruc.dk)
|
| Head of study |
Henrik Bulskov (bulskov@ruc.dk)
|
| Teachers |
|
| Study administration |
IMT Registration & Exams (imt-exams@ruc.dk)
|
| Exam code(s) |
U60064
|
| ACADEMIC CONTENT | |
| Overall objective |
Completing an internship at an academically relevant workplace for the purposes of gaining first-hand knowledge of typical work tasks and more experience with the connection between professional practice and the programme’s academic content. |
| Detailed description of content |
Total workload of 412 hours. |
| Course material and Reading list |
|
| Overall plan and expected work effort |
|
| Format |
|
| Evaluation and feedback |
The internship will be survey evaluated by the IMT department. |
| Programme |
Negotiated with internship and supervisor. The supervision framework and practice are described by the Study Board for Computer Science and Digital Transformation. In the framework you can find information about what you can expect from your supervisor, norms for supervision hours, and about the progress report. You can read the supervision practice here along with other guidelines from the Study Board, such as guidelines for allocation of funds for projects, thesis contracts, etc. |
| ASSESSMENT | |
| Overall learning outcomes |
After completing this course, students will be able to:
|
| Prerequisites |
|
| Form of examination |
Oral exam based on project-oriented internship
The product can be written individually or in a group. Assignments written by a group must be individualised. The character limits of the written product: For 1 student : maximum48,000 characters, including spaces. For 2 students: maximum72,000 characters, including spaces. The character limits include the cover, table of contents, bibliography, figures and other illustrations, but exclude appendices. Time allowed for the exam including time used for assessment for one student: 30 minutes. Time allowed for the exam including time used for assessment for two students: 45 minutes. The assessment is an assessment of the written product and the oral performance. Permitted support and preparation materials for the oral exam: All. Assessment: 7-point grading scale Moderation: Internal co-assessor. |
| Form of Re-examination |
Samme som ordinær eksamen / same form as ordinary exam
|
| Type of examination in special cases |
|
| Examination and assessment criteria (implemented) |
The exam will be based on an internship report. In the assessment of the examination, emphasis will be placed on the learning outcomes. Use of Generative Articifial Intelligence (GAI) in exams For project reports, bachelor's projects and master's theses, generative AI aids (GAI) are permitted in the work with the exam if the use is declared. You must clearly declare how you have used generative artificial intelligence (GAI). This can be included as part of the methodology section or as a short statement at the end of your report. This means that you must describe how you have used GAI, e.g. for the preparatory work on the project, to ask questions and search for information, to receive feedback and criticism on your text, to carry out proofreading or to improve language and readability. It is important that you actively relate to your choice of tools in this way, as it is part of the entire process of creating the project, and thus part of your scientific method and professional communication. The use of any specific text that is GAI-generated requires citation, just as when using all other sources from which direct quotations are used. In the library's guide, you can see more about how to cite AI and how you can account for your use of GAI. The use of generative artificial intelligence (GAI) must always take place within the framework of Roskilde University's ‘Guidelines for using generative artificial intelligence in written exams.’ However, ordinary spell checking and other language suggestions, such as Word or other word processing programs, as well as programs for writing minutes and transcription, are permitted in all written exams and do not need to be declared. |
| Exam code(s) | |
| Last changed | 09/09/2025 |